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Author Christensen, K.F. ♦ Linnerup Christiansen, L. ♦ Pedersen, T.B. ♦ Pihl, J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Biology ♦ Aggregates ♦ Receivers
Abstract Increasingly, streaming positions from moving objects in blended indoor/outdoor spaces are used to deliver new types of real-time location-based services. To support such scenarios, this paper presents the Searchlight Graph (SLG) model and the associated Searchlight Continuous Query Processing Framework (CQPF) for (predictive) Continuous Query Processing (CQP) in symbolic indoor/outdoor spaces. The model captures both actual and predicted object movement, object-specific edge costs, and location/object context annotation with keywords, enabling context-aware (predictive) querying of both locations and objects. Furthermore, the paper proposes several types of continuous spatio-temporal queries, expressed in the declarative Searchlight Query Language (SLQL), along with novel query processing algorithms, and describes their implementation in the Searchlight CQPF. Finally, a novel location prediction algorithm is proposed. Extensive experimental studies show that Searchlight is scalable, efficient, and outperforms its main competitor.
Description Author affiliation: Dept. of Comput. Sci., Aalborg Univ., Aalborg, Denmark (Christensen, K.F.; Linnerup Christiansen, L.; Pedersen, T.B.; Pihl, J.)
ISBN 9781479979646
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-04-13
Publisher Place South Korea
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 1.64 MB
Page Count 12
Starting Page 687
Ending Page 698


Source: IEEE Xplore Digital Library